Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Engineer (d/m/w) für Datenlandschaft Berlin role.
Rezi rewrites your resume against The Formula's job description. Free.
Tailor your resume to this Data Engineer (d/m/w) für Datenlandschaft Berlin role.
Rezi rewrites your resume against The Formula's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer (d/m/w) für Datenlandschaft Berlin posting at The Formula — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer (d/m/w) für Datenlandschaft Berlin posting at The Formula — free, in seconds.
About the Role
Work on high-priority IT projects as a spin-off from one of Germany's most successful banks.
Responsibilities
- Develop data pipelines (ETL/ELT).
- Build robust, scalable data warehouse and data lake structures.
- Implement automated processes for data validation, cleaning, and quality assurance.
- Develop high-performance APIs and data interfaces for business analysts, risk managers, and data science teams.
- Support the migration of on-premise legacy systems to secure hybrid or dedicated cloud environments.
- Monitor, analyze, and optimize the performance, runtimes, and costs of big data queries and system resources.
- Assist the Data Lineage team in establishing and maintaining transparent data governance and data cataloging.
Requirements
- Successfully completed technical degree.
- Minimum 5 years of full-time professional experience in IT, with at least 2 years at the same employer.
- Minimum 3 years of full-time professional experience as a Data Engineer.
- Fluent SQL and good Python in Bash.
- Good knowledge of database servers and experience with at least one of the following technologies: Jenkins, Nexus, Airflow, Bitbucket, Ansible.
- Initial experience with cloud systems.
- Strong communication skills, experience with interdisciplinary teams, accuracy, and agile methodologies.
- Negotiation-level German language skills (C1).
Skills
- PostgreSQL
- Exasol
- Database Administration
- DBA
- Cloud Operating
- Infrastructure as Code
- IaC
- Terraform
- Ansible
- Python
- Bash
- PowerShell
- Apache Airflow
- dbt
- Rundeck
- CI/CD
- Jenkins
- Zabbix
- SQL
- Linux
- Windows
- ETL
- ELT
- Data Warehouse
- DWH
- Monitoring
- Troubleshooting
- Incident Management
- Backup
- Recovery
- Performance Tuning
- Automation
- Security
- Compliance
- Agile
- Scrum
- Kanban
- Client-Server Windows and Linux
- VMware vSphere
- Nexus
- Bitbucket
- MS-SQL
- TCP/IP
- DC
- DNS
- DHCP
- Access Control List
- Active Directory
- R
- Tableau
- PowerBI
- Looker
- ApacheEcharts
- Excel
- SPSS
- SAS
- OLAP
- OLTP
- ITIL
- UML
- BPMN
- Java
- Apache Kafka
- Kafka Exasol Connector
- WhereScape RED
- WhereScape 3D
- Star Schema
- Data Vault Express
Location
- Berlin
Work Type
- Hybrid
- Full-time
Experience Level
- 5+ years IT experience
- 3+ years Data Engineer experience
Education Level
- Technical degree
Benefits
- Flexible working hours
- Up to 50% home office per week
- Office in the heart of Berlin
- Regular company events (e.g., summer party, Christmas party)
- Sports activities (e.g., table tennis, company run)
- 30 + 2 days of vacation
About the Company
- Spin-off from one of Germany's most successful banks.
Equal Opportunity
- We celebrate diversity and welcome applications regardless of gender, gender identity or expression, sexual orientation, age, ethnic or social origin, religion or belief, physical or mental abilities, marital status, appearance, or any other characteristic that is not a selection criterion under applicable law.
- Diverse perspectives, experiences, and life paths enrich teams and lead to better decisions.